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Ansu/
whisper-small-basque-lr1e-5-freezeFalse

Name: whisper-small-basque-lr1e-5-freezeFalse
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whisper-small-basque-lr1e-5-freezeFalse

This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Wer
0.1695	0.33	1000	0.2690	14.8682
0.1145	0.66	2000	0.2183	11.4525
0.094	0.99	3000	0.1978	10.1349
0.0692	1.32	4000	0.1933	9.5979
0.0625	1.65	5000	0.1860	9.0421
0.0607	1.98	6000	0.1859	9.1857
0.0396	2.31	7000	0.1848	8.6487
0.0388	2.64	8000	0.1843	8.6299
0.0391	2.97	9000	0.1830	8.5051
0.0322	3.3	10000	0.1860	8.6237